Evidence map›Paper›PMID 33543653›Full record

ArticleIntegrative cancer therapies

Impact of Body Mass Index on Survival Outcome in Patients with Newly Diagnosed Glioblastoma: A Retrospective Single-Center Study.

Jun-Yong Cha, Jae-Sung Park, Yong-Kil Hong, Sin-Soo Jeun, Stephen Ahn

Open access · goldAbstract read
In one paragraph

Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Baseline single institutional retrospective review of body mass index (BMI) as a prognostic indicator in patients with newly diagnosed glioblastoma (GBM).Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jun-Yong ChaThe Catholic University of Korea, Seoul, South Korea.
Jae-Sung ParkThe Catholic University of Korea, Seoul, South Korea.
Yong-Kil HongThe Catholic University of Korea, Seoul, South Korea.
Sin-Soo JeunThe Catholic University of Korea, Seoul, South Korea.
Stephen AhnThe Catholic University of Korea, Seoul, South Korea.
Catholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe impact of obesity on survival outcomes in patients with glioblastoma (GBM) has not been well reported and the results for patients are currently unclear. We investigated the effect of obesity on survival outcomes in patients with newly diagnosed GBM.

methodsUsing electronic medical records, all GBM patients that visited the Seoul St. Mary's Hospital between 2008 and 2018 were reviewed. A total of 177 patients met our eligibility criteria. The cut-off point for BMI was 23.0 kg/m

resultsA total of 177 patients met our eligibility criteria. The overall median BMI of patients was 24.5 kg/m

conclusionOur findings suggest that elevated BMI may be associated with better survival in patients with newly diagnosed GBM. Additional larger prospective studies could help validate our findings to confirm the effect of body composition and survival outcomes in GBM patients.

Indexed as

Brain NeoplasmsGlioblastomaBody Mass IndexHumansKaplan-Meier EstimatePrognosisProspective StudiesRetrospective Studiesbody mass indexcancerglioblastomaobesitysurvival

Identifiers

PMID33543653
PMCPMC7869148
OpenAlexW3128925917

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.